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dc.contributor.advisorSabine Hauert, Mieszko Lis, Sangeeta Bhatia and Srini Devadas.en_US
dc.contributor.authorNachum, Ofiren_US
dc.contributor.otherMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.en_US
dc.date.accessioned2014-11-24T18:39:42Z
dc.date.available2014-11-24T18:39:42Z
dc.date.copyright2014en_US
dc.date.issued2014en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/91849
dc.descriptionThesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2014.en_US
dc.descriptionCataloged from PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references (pages 59-61).en_US
dc.description.abstractSelf-assembly is important in nanomedicine and increasingly plays a role in drug-delivery or imaging applications in tumors. Predicting behavior and dynamics of nanoparticle systems is very difficult, especially when assembling and disassembling particles are involved. To address this challenge, the Bhatia lab has developed NanoDoc (http: //nanodoc.org), an online game that allows users around the world to design and simulate nanoparticle treatments. During this project, we were able to implement mechanisms to effectively describe and simulate self-assembly in NanoDoc. As a bench mark for our simulator, we show that we are able to reproduce laboratory experiments in the literature. The simulator was then made available to the crowd and a challenge was proposed that requires users to perform self-assembly in a scenario aimed at improving the accumulation of imaging agents in tumors.en_US
dc.description.statementofresponsibilityby Ofir Nachum.en_US
dc.format.extent61 pagesen_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsM.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectElectrical Engineering and Computer Science.en_US
dc.titleSimulating self-assembly of nanoparticles in tumor environmentsen_US
dc.typeThesisen_US
dc.description.degreeM. Eng.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
dc.identifier.oclc894251236en_US


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